Xia Feng

Batch-Aggregate: Efficient Aggregation for Private Federated Learning in VANETs

2024 · IEEE Transactions on Dependable and Secure Computing

Federated learning (FL) in Vehicular Ad-hoc Networks (VANETs) enables vehicles to collaboratively train machine learning models by aggregating local gradients without revealing the training data. To ensure no gradient is revealed during aggregation, proposals are …

SDB: Scalable Blockchain Database via Searchable Encryption and Cross-Shard Mechanism

2025

Blockchain database has been widely applied in various fields, providing a secure architecture for data storage and sharing. In blockchain databases, the use of sharding technology can enhance the system's scalability and improve the processing …